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SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis., , , , and . NeurIPS, (2022)Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning., , , , , and . AAAI Workshops, volume WS-17 of AAAI Technical Report, AAAI Press, (2017)TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos., , , , , and . PSB, WorldScientific, (2021)Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality., , , , , , , , , and . CoRR, (2022)TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos., , , , , and . CoRR, (2020)Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set., , , , , , , , , and 9 other author(s). CoRR, (2022)SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis., , , , and . CoRR, (2023)Disparities in Dermatology AI: Assessments Using Diverse Clinical Images., , , , , , , , , and 7 other author(s). CoRR, (2021)